element.chen/ai-g3sb-backman2.0
1
0
Fork 0
Code Pull Requests Activity
Files
df33657099184e3e50c94b28dfebb8c7a2f29941
ai-g3sb-backman2.0/backend/utils/__pycache__/dialog_classifier.cpython-312.pyc
T

93 lines
10 KiB
Plaintext
Raw Normal View History

0.1.1 暂存
2026-04-14 10:28:22 +08:00
Ë
Enhance impact analysis and configuration for vector persistence and API integration. Update main.spec to clarify data handling for ChromaDB, ensuring vector directories are excluded from packaging. Modify Text2SQLOrchestrator to unify question normalization for consistent SQL generation across languages. Introduce SchemaIndexer improvements for persistent vector storage and optimize embedding retrieval processes. Update documentation and comments for clarity on configuration changes and behavior adjustments.
2026-04-15 11:25:19 +08:00
CÞi´#ãóØ—dZddlmZddlZddlZddlZddlZddlmZddl m
0.1.1 暂存
2026-04-14 10:28:22 +08:00
Z
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
m Z m Z e
rddl
mZeje«ZdZGd„d ee«ZGd
0.1.1 暂存
2026-04-14 10:28:22 +08:00
„d e «Zd Zd
Zej0dej2«Zehd£«Zed„eD««Zej0dej2«Zdd„Zdd„Z dd„Z!ddœ dd„Z" dd„Z#ddddœ d d„Z$y)!u‘
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
用户输入�图分类：区分「自然语言查数 / Text2SQL�与「寒暄�致谢�元问题�等�适�直接生� SQL 的对�。
支�环境�� ``DIALOG_INTENT_CLASSIFIER``：
- ``rules``：仅用关键�与短语规则（无 LLM 调用）。
- ``hybrid``（默认）：明显查数�/寒暄/元问题走规则；其余交 LLM 判断（需调用方传入 ``llm_client``）。
é)Ú annotationsN)ÚEnum)Ú
TYPE_CHECKINGÚ
NamedTupleÚOptional)ÚDeepSeekClientÚDIALOG_INTENT_CLASSIFIERcó—eZdZdZdZy)Ú DialogIntentÚtext2sqlÚ conversationN)Ú__name__Ú
__module__Ú __qualname__ÚTEXT2SQLÚ CONVERSATION©óúGC:\Users\24019\Desktop\backman-camel\backend\utils\dialog_classifier.pyr r s „Ø€HØ!�Lrr có(—eZdZUded< dZded<y)ÚDialogClassifyResultr ÚintentNú
Optional[str]Úreply_suggestion)rrrÚ__annotations__rrrrrrs…Ø ÓØ[Ø&*Ð�mÔ*rruØ您好，我是业务库 Text2SQL 助手。
请用自然语言�述�查询或统计的内容（例如：查询�账户�用余��按�纪商汇总未结算交易笔数）。
输入 quit 或 exit å�¯é€€å‡ºã€‚u?请输入具体的业务查询问题，或输入 quit 退出。uX(查|查询|查出|检索|统计|列出|汇总|求和|å¹³å�‡|分组|排åº�|排å��|显示|导出|筛选|过滤|多少|几个|几张|哪些|å� æ¯”|å�Œæ¯”|环比|ä½™é¢�|交易|账户|æŒ�仓|报表|结算|å�ˆçº¦|订å�•|æµ�æ°´|ç»�纪商|对手方|è¯�券|资金|query|select|list|show|count|sum|avg|how\s+many|statistics|\bfrom\b|\bwhere\b|\btable\b)>#õå—¨õå—¯õ好õè¡Œõ👋õ😀õ你好õå†�è§�õ哈哈õ哈喽õ嗯嗯õ在å�—õ多谢õ好的õ您好õæ„Ÿè°¢õ拜拜õ收到õ谢谢õ 下å�ˆå¥½õ 哈哈哈õ 在ä¸�在õ 早上好õ 晚上好õ 哈哈谢谢ú thank youÚhiÚokÚbyeÚheyÚthxÚokayÚhelloÚthanksÚgoodbyec#ó<K—|]}|j«–—Œy­w)N)Úcasefold)Ú.0Úps rÚ <genexpr>rC^sèø€ÐCÑ1B¨A˜1Ÿ:™:Ÿ<Ñ1Bùs‚u„(你是è°�|你是什么|你能(å�š|å¹²)什么|你会什么|怎么用|如何使用|使用说明|帮助|help\b|什么功能|干啥的)có„—tjd|xsd«j«}tjdd|«}|S)NÚNFKCÚz\s+Ú )Ú unicodedataÚ normalizeÚstripÚreÚsub)ÚtextÚts rÚ
_normalizerOgs8€Ü×јf d¢j¨bÓ1×7Ñ7Ó9€AÜ
�‰ˆv�s˜AÓ€AØ €HrcóL—tjdd|«j«S)Nu#[ï¼�!。.?？,，;ï¼›:~～…ã€�]+$rF)rKrLrJ)rNs rÚ_strip_trailing_punctrQms€Ü
�6‰6Ð8¸"¸aÓ @× FÑ FÓ HÐHrcó®—tjt«xsdj«j «}|dvrt
j
0.1.1 暂存
2026-04-14 10:28:22 +08:00
d|«y|S)NÚhybrid)ÚrulesrSz8[dialog] unknown DIALOG_INTENT_CLASSIFIER=%r, use hybrid)ÚosÚgetenvÚ_INTENT_CLASSIFIER_ENVrJÚlowerÚloggerÚwarning)Úms rÚ_intent_classifier_moder\qsL€Ü �‰Ô)Ó *Ò 6¨h×=Ñ=Ó?×EÑEÓG€AØÐ#Ñ#Ü�‰Ø FÈô
ðØ €HrF©Úlast_turn_was_data_querycóÞ—t|«}|sttjt¬«St
j
|«r/tjd«ttjd«St|«}|j«tvr4tjd«ttjt¬«Stj
|«r4tjd«ttjt¬«S|r/tjd«ttjd«Stjd«ttjd«S)u½
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
规则分类（与历�行为一致）：优先查数关键�；寒暄/元问题为 conversation；
若上一轮为数�查询且�寒暄/元问题，则倾� text2sql。
©rz.[dialog] intent=text2sql (query/business hint)Nz.[dialog] intent=conversation (chitchat phrase)z,[dialog] intent=conversation (meta question)z5[dialog] intent=text2sql (follow-up after data query)z"[dialog] intent=text2sql (default))rOrr rÚ_EMPTY_INPUT_REPLYÚ_SQL_OR_QUERY_HINT_REÚsearchrYÚdebugrrQr@Ú_CHITCHAT_KEYSÚDEFAULT_CONVERSATION_REPLYÚ_META_QUESTION_RE)Ú user_textr^rNÚcores rÚ_classify_dialog_rulesrj{s€ô �9Ó€AÙ Ü#Ü × %Ñ %Ô8Jô
ð
ô×#Ñ# AÔ&Ü� ‰ ÐEÔFÜ#¤L×$9Ñ$9¸4Ó@Ð@ä  Ó #€DØ ‡}�}ƒœ.Ñ(Ü� ‰ ÐEÔFÜ#Ü × %Ñ %Ô8Rô
ð
ô×Ñ Ô"Ü� ‰ ÐCÔDÜ#Ü × %Ñ %Ü7ô
ð
ñ
 Ü� ‰ ÐLÔMÜ#¤L×$9Ñ$9¸4Ó@Ð@ä
‡L�LÐ5Ô6Ü ¤ × 5Ñ 5°tÓ <Ð<rc óÜ—ddlm}m}|rdnd}|xsdj«}t |«dkDr|ddj «dz}|sd}|j
d |d
œd |j||t|«¬ «d
œgd
dd¬«}|jd«r td«‚|jd«xsdj«j«} |jd«xsdj«}
| dk(r4|
sd}
tjd«ttj |
¬«S| dk(r/tjd«ttj"d«Std| ›�«‚)Nr)ÚDIALOG_INTENT_CLASSIFIER_SYSTEMÚDIALOG_INTENT_CLASSIFIER_USERu是uå�¦rFi` u
…(已截断)u(æ— )Úsystem)ÚroleÚcontentÚuser)Úlast_turn_labelÚ context_snipÚ user_messagegégð?)Ú temperatureÚ
max_tokensÚtop_pÚ_json_decode_failedzintent JSON decode failedrÚreply_zhr
u“若上一版 SQL 或结果ä¸�符å�ˆé¢„期，请具体说明：希望增加/修改哪些æ�¡ä»¶ã€�时间范围或统计维度，以便é‡�新生æˆ�。z"[dialog] intent=conversation (LLM)r`r z[dialog] intent=text2sql (LLM)zunexpected intent field: )Úconfig.promptsrlrmrJÚlenÚrstripÚchat_with_jsonÚformatrOÚgetÚ
ValueErrorrXrYÚinforr rr) Úclientrhr^Údialog_contextrlrmÚ
last_labelÚctxÚrawÚintent_sÚreplys rÚ_classify_dialog_llmrŠ¤sz€÷ñ
3‘¸€JØ Ò ˜R×
&Ñ
&Ó
(€CÜ
ˆ3ƒx�$‚Ø�%�4ˆj×ÑÓ!Ð$6Ñ6ˆÙ ؈à
×
Ñ
àÐ*IÑ JàØ8×?Ñ?Ø$.Ø!$Ü!+¨IÓ!6ð@óñ
ð
ðØØð ó €Cð  ‡w�wÐ$Ô%ÜÐ4Ó5Ð5à—‘˜Ó!Ò' R×.Ñ.Ó0×6Ñ6Ó8€HØ
�W‰W�ZÓ
Ò
& B× -Ñ -Ó /€Eà�>Ò!ÙðFð
ô � ‰ Ð8Ô9Ü#¤L×$=Ñ$=ÐPUÔVÐVà�:ÒÜ� ‰ Ð4Ô5Ü#¤L×$9Ñ$9¸4Ó@Ð@ä
Ð0°° Ð=Ó
>Ð>r)r^r„Ú
llm_clientcóì—t«}|dk(r
t||¬«St|«}|sttj
t ¬«Stj|«r/tjd«ttjd«St|«}|j«tvr4tjd«ttj
0.1.1 暂存
2026-04-14 10:28:22 +08:00
t¬«St j|«r4tjd«ttj
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
t¬«S|� t#||||¬«St||¬«S#t$$r }tj'd |«Yd}~Œ1d}~wwxYw)
u4
对用户一轮输入�分类。
``DIALOG_INTENT_CLASSIFIER``：
- ``rules``：仅规则。
- ``hybrid``：规则快速命中查数�/寒暄/元问题�返回；�则在有 ``llm_client`` 时用 LLM，
失败或无客户端时回退规则。
Args:
user_text: 用户输入。
last_turn_was_data_query: 上一轮助手是�为数�查询（供规则与 LLM �考）。
dialog_context: 会�摘�，供 LLM �考（�选）。
llm_client: DeepSeek 客户端；hybrid 下 LLM 分支需�。
0.1.1 暂存
2026-04-14 10:28:22 +08:00
rTr]r`z;[dialog] intent=text2sql (query/business hint, hybrid fast)Nz;[dialog] intent=conversation (chitchat phrase, hybrid fast)z9[dialog] intent=conversation (meta question, hybrid fast))r^r„z.[dialog] LLM intent failed, fallback rules: %s)r\rjrOrr rrarbrcrYrdrrQr@rerfrgrŠÚ ExceptionrZ)rhr^r„r‹ÚmoderNriÚes rÚclassify_dialogr�ÝsT€ô* #Ó $€Dà ˆw‚Ü%Ø Ð0Hô
ð
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
ô
�9Ó€AÙ Ü#Ü × %Ñ %Ô8Jô
ð
Copy Permalink